Results 1 to 10 of about 6,149,586 (334)

Navigating AI-Enhanced Learning: A Case Study of E-Portfolio Assessment with Gemini AI in Business English Speaking Development

I Putu Yoga Laksana, Putu Tika Virginiya, Ni Nyoman Yuliantini, Ni Putu Ritra Trees Ari Kartika Had Saraswati, Ni Wayan Sadiyani   +4 more
openalex   +1 more source

Development of Blended Learning-Based Mathematics Learning Devices Viewed from The Learning Styles of Students at SMP Muhammadiyah 2 Mariyai, Sorong District

, 2023
MUSTAFAH SIDDIK, Mu’arief Hasanah
openalex   +2 more sources

Learning, training and development

, 2023
openaire   +2 more sources

Automated scan quality evaluation for DDH using transfer learning: Development of a novel ensemble system. [PDF]

PLoS One
Ko YK, Lee SB, Lee SW.
europepmc   +1 more source

Letter to 'Automated CT image prescription of the gallbladder using deep learning: Development, evaluation, and health promotion'. [PDF]

Acute Med Surg
Daungsupawong H, Wiwanitkit V.
europepmc   +1 more source

The development and evaluation of a holistic needs assessment and care planning learning package targeted at cancer nurses in the UK

, 2014
Ronan Henry, Ben Hartley, Mhairi Simpson, Natalie Doyle   +3 more
openalex   +1 more source

Transforming Education: Case-Based Integrated Learning Development and Implementation - A Mixed Methods Study at a Private Medical College. [PDF]

J Adv Med Educ Prof
Ali R, Afzal A, Shakil S, Sultan A, Babar S, Rehman J, Malik MGR, Qadir MS, Khan S, Saeed S.   +9 more
europepmc   +1 more source

Noninvasive Screening Tool for Hyperkalemia Using a Single-Lead Electrocardiogram and Deep Learning: Development and Usability Study.

JMIR Med Inform, 2022
Urtnasan E, Lee JH, Moon B, Lee HY, Lee K, Youk H.   +5 more
europepmc   +1 more source

Automated CT image prescription of the gallbladder using deep learning: Development, evaluation, and health promotion. [PDF]

Acute Med Surg
Yang CY, Kao HL, Chen YC, Kuo CF, Liu CH, Liu SC.   +5 more
europepmc   +1 more source

Novel application of an automated-machine learning development tool for predicting burn sepsis: proof of concept. [PDF]

Sci Rep, 2020
Tran NK, Albahra S, Pham TN, Holmes JH, Greenhalgh D, Palmieri TL, Wajda J, Rashidi HH.   +7 more
europepmc   +1 more source